Knative is an open-source, Kubernetes-based serverless framework that delivers a cloud-native and cross-platform orchestration standard for serverless applications. Knative Serving is a fully managed and O&M-free core component of Knative responsible for handling serverless workloads, including application deployment and version management. When no traffic is processed, the number of pods is scaled to zero. This topic describes the release notes for Knative Serving.
Introduction
Container Service for Kubernetes (ACK) Knative is fully compatible with open-source Knative and integrates comprehensively with Alibaba Cloud services. The capabilities of ACK Knative are enhanced to offer more extensive product solutions. For more information about Knative, see Overview.
Knative consists the following core components, which provide different features:
Knative Serving: provides serverless workload management capabilities. Knative Serving enables serverless deployment, version management, and canary releases for your applications. Knative Serving also supports pod auto scaling based on resource requests. If no traffic is processed, the number of pods is scaled to zero.
Knative Eventing: provides event management capabilities, which allow you to interface with external event sources, register and subscribe to events, and filter events. The event system decouples event producers and event consumers.
Knative Functions: allows you to create, build, and deploy Knative Services in an efficient manner. You can deploy stateless, event-driven functions as Knative Services to a Kubernetes cluster by using Knative Functions without the need to have a deep understanding of the underlying technology stack, such as Kubernetes, containers, and Knative.
Usage notes
For more information about how to use Knative, see Deploy Knative. For more information about how to manage Knative, see Manage Knative components and Upgrade Knative Serving.
Release notes
November 2024
Version number | Release date | Description | Impact |
v1.12.7-aliyun.2 | 2024-11-12 |
| No impact on workloads. We recommend that you update Knative during off-peak hours. |
September 2024
Version number | Release date | Description | Impact |
v1.12.5-aliyun.7 | 2024-09-09 |
| No impact on workloads. We recommend that you update Knative during off-peak hours. |
June 2024
Version number | Release date | Description | Impact |
v1.12.4-aliyun.7 | 2024-06-18 | Important The Kubernetes version of the cluster must be 1.26 or later.
| No impact on workloads. We recommend that you update Knative during off-peak hours. |
May 2024
Version number | Release date | Description | Impact |
v1.10.9-aliyun.7 | 2024-05-23 |
| No impact on workloads. We recommend that you update Knative during off-peak hours. |
December 2023
Version number | Release date | Description | Impact |
v1.10.6-aliyun.1 | 2023-12-25 | Important The Kubernetes version of the cluster must be 1.26 or later.
| No impact on workloads. We recommend that you update Knative during off-peak hours. |
October 2023
Version number | Release date | Description | Impact |
v1.8.3-aliyun.1 | 2023-10-17 |
| No impact on workloads. We recommend that you update Knative during off-peak hours. |
July 2023
Version number | Release date | Description | Impact |
v1.8.2-aliyun.1 | 2023-07-20 | Important The Kubernetes version of the cluster must be 1.24 or later.
| No impact on workloads. We recommend that you update Knative during off-peak hours. |
June 2023
Version number | Release date | Description | Impact |
v1.4.5-aliyun.1 | 2023-06-19 |
| No impact on workloads. We recommend that you perform the update during off-peak hours. |
May 2023
Version number | Release date | Description | Impact |
v1.4.3-aliyun.1 | 2023-05-18 |
| No impact on workloads. We recommend that you update Knative during off-peak hours. |
April 2023
Version number | Release date | Description | Impact |
v1.4.2-aliyun.1 | 2023-04-26 |
| No impact on workloads. We recommend that you update Knative during off-peak hours. |
March 2023
Version number | Release date | Description | Impact |
v1.4.1-aliyun.1 | 2023-03-23 |
| No impact on workloads. We recommend that you perform the update during off-peak hours. |